AIMC Topic: Mice

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Brain imaging and machine learning reveal uncoupled functional network for contextual threat memory in long sepsis.

Scientific reports Nov 12, 2024
Positron emission tomography (PET) utilizes radiotracers like [F]fluorodeoxyglucose (FDG) to measure brain activity in health and disease. Performing behavioral tasks between the FDG injection and the PET scan allows the FDG signal to reflect task-re...
Mice, Inbred C57BL Fluorodeoxyglucose F18 Brain Mapping Male Memory Machine Learning Sepsis Positron-Emission Tomography Brain Mice Animals Disease Models, Animal
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Interpretable machine learning uncovers epithelial transcriptional rewiring and a role for Gelsolin in COPD.

JCI insight Nov 8, 2024
Transcriptomic analyses have advanced the understanding of complex disease pathophysiology including chronic obstructive pulmonary disease (COPD). However, identifying relevant biologic causative factors has been limited by the integration of high di...
Gelsolin Mice Disease Models, Animal Epithelial Cells Female Pulmonary Disease, Chronic Obstructive Animals Male Lung Gene Expression Profiling Transcriptome Gene Regulatory Networks Humans Machine Learning
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Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning.

Journal of neural engineering Nov 7, 2024
Brain-machine interfaces (BMIs) aim to restore sensorimotor function to individuals suffering from neural injury and disease. A critical step in implementing a BMI is to decode movement intention from recorded neural activity patterns in sensorimotor...
Neurons Extremities Calcium Deep Learning Animals Mice Male Brain-Computer Interfaces Mice, Inbred C57BL Movement
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Automated acute skin toxicity scoring in a mouse model through deep learning.

Radiation and environmental biophysics Nov 6, 2024
This study presents a novel approach to skin toxicity assessment in preclinical radiotherapy trials through an advanced imaging setup and deep learning. Skin reactions, commonly associated with undesirable side effects in radiotherapy, were meticulou...
Mice Female Disease Models, Animal Animals Skin Deep Learning Automation
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A hybrid method for discovering interferon-gamma inducing peptides in human and mouse.

Scientific reports Nov 6, 2024
Interferon-gamma (IFN-γ) is a versatile pleiotropic cytokine essential for both innate and adaptive immune responses. It exhibits both pro-inflammatory and anti-inflammatory properties, making it a promising therapeutic candidate for treating various...
Peptides Mice Computational Biology Interferon-gamma Humans Machine Learning Animals
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G-Protein Signaling in Alzheimer's Disease: Spatial Expression Validation of Semi-supervised Deep Learning-Based Computational Framework.

The Journal of neuroscience : the official journal of the Society for Neuroscience Nov 6, 2024
Systemic study of pathogenic pathways and interrelationships underlying genes associated with Alzheimer's disease (AD) facilitates the identification of new targets for effective treatments. Recently available large-scale multiomics datasets provide ...
GTP-Binding Proteins Amyloid beta-Protein Precursor Supervised Machine Learning Alzheimer Disease Mice, Transgenic Animals Male Deep Learning Protein Interaction Maps Mice Computational Biology Signal Transduction Humans Brain Female
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Learned Tensor Neural Network Texture Prior for Photon-Counting CT Reconstruction.

IEEE transactions on medical imaging Nov 4, 2024
Photon-counting computed tomography (PCCT) reconstructs multiple energy-channel images to describe the same object, where there exists a strong correlation among different channel images. In addition, reconstruction of each channel image suffers phot...
Neural Networks, Computer Algorithms Phantoms, Imaging Photons Tomography, X-Ray Computed Animals Image Processing, Computer-Assisted Mice
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HiDDEN: a machine learning method for detection of disease-relevant populations in case-control single-cell transcriptomics data.

Nature communications Nov 2, 2024
In case-control single-cell RNA-seq studies, sample-level labels are transferred onto individual cells, labeling all case cells as affected, when in reality only a small fraction of them may actually be perturbed. Here, using simulations, we demonstr...
Humans Machine Learning Blood-Brain Barrier Animals Gene Expression Profiling Transcriptome Case-Control Studies Computational Biology Single-Cell Analysis Multiple Myeloma RNA-Seq Mice
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Machine learning accelerates the discovery of epitope-based dual-bioactive peptides against skin infections.

International journal of antimicrobial agents Oct 31, 2024
OBJECTIVES: Skin injuries and infections are an inevitable part of daily human life, particularly with chronic wounds, becoming an increasing socioeconomic burden. In treating skin infections and promoting wound healing, bioactive peptides may hold s...
Humans Machine Learning Lipopolysaccharides Antimicrobial Cationic Peptides Anti-Inflammatory Agents Epitopes Mice Skin Cytokines Escherichia coli Antimicrobial Peptides Animals Wound Healing Histocompatibility Antigens Class II Male Disease Models, Animal Skin Diseases, Infectious
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Essential blood molecular signature for progression of sepsis-induced acute lung injury: Integrated bioinformatic, single-cell RNA Seq and machine learning analysis.

International journal of biological macromolecules Oct 31, 2024
In this study, we aimed to identify an essential blood molecular signature for chacterizing the progression of sepsis-induced acute lung injury using integrated bioinformatic and machine learning analysis. The results showed that a total of 88 functi...
Animals Male Disease Progression Gene Expression Profiling Single-Cell Gene Expression Analysis Humans Mice Machine Learning Transcriptome Computational Biology Biomarkers Sepsis Acute Lung Injury Single-Cell Analysis RNA-Seq
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